Results 51 to 60 of about 726,041 (339)

Blind Image Deblurring via a Novel Sparse Channel Prior

Mathematics, 2022
Blind image deblurring (BID) is a long-standing challenging problem in low-level image processing. To achieve visually pleasing results, it is of utmost importance to select good image priors. In this work, we develop the ratio of the dark channel prior (
Dayi Yang, Xiaojun Wu, Hefeng Yin
doaj   +1 more source

Statistical sparsity

Biometrika, 2018
The main contribution of this paper is a mathematical definition of statistical sparsity, which is expressed as a limiting property of a sequence of probability distributions. The limit is characterized by an exceedance measure~$H$ and a rate parameter~$ > 0$, both of which are unrelated to sample size. The definition is sufficient to encompass all
McCullagh, Peter, Polson, Nicholas
openaire   +2 more sources

Tensor Rank Regularization with Bias Compensation for Millimeter Wave Channel Estimation

Signals, 2022
This paper presents a novel method of tensor rank regularization with bias compensation for channel estimation in a hybrid millimeter wave MIMO-OFDM system.
Fei He, Andrew Harms, Lamar Yaoqing Yang
doaj   +1 more source

Structured Sparsity: Discrete and Convex approaches

, 2015
Compressive sensing (CS) exploits sparsity to recover sparse or compressible signals from dimensionality reducing, non-adaptive sensing mechanisms. Sparsity is also used to enhance interpretability in machine learning and statistics applications: While ...
A. Beck, A. Chambolle, A. Chambolle, A. Gilbert, A. Goldberg, A. Goy, A. Gramfort, A. Nemirovskii, A. Puig, A. Subramanian, B. Efron, B. He, B. McCoy, B. Natarajan, C. Sheppard, D. Bertsekas, D. Donoho, D. Heckerman, D. Needell, F. Girosi, F. Rapaport, G. Nemhauser, G. Nemhauser, H. Zhou, I. Daubechies, I. Johnstone, International Neuroinformatics Coordinating Faculty, J. Bonnans, J. Borwein, J. Dahl, J. Huang, J. Huang, J. Orlin, J. Shapiro, J. Tropp, L. He, M. Born, M. Crouse, M. Fukushima, M. Lustig, M. Stojnic, M. Vincent, N. Simon, P. Combettes, P. Loh, P. Tseng, P. Zhao, Q. Tran-Dinh, R. Baraniuk, R. Baraniuk, R. Baraniuk, R. Jenatton, R. Jenatton, S. Boyd, S. Boyd, S. Chen, S. Foucart, S. Fujishige, S. Fujishige, S. Mallat, S. Mallat, S. Robinson, S. Villa, S. Villa, S. Wright, S. Wright, T. Blumensath, T. Blumensath, V. Chandrasekaran, V. Kolmogorov, W. Gerstner, Y. Bengio, Y. Eldar, Y. Nesterov, Y. Nesterov, Y. Nesterov   +75 more
core   +1 more source

Comparing measures of sparsity [PDF]

2008 IEEE Workshop on Machine Learning for Signal Processing, 2008
Sparsity of representations of signals has been shown to be a key concept of fundamental importance in fields such as blind source separation, compression, sampling and signal analysis. The aim of this paper is to compare several commonlyused sparsity measures based on intuitive attributes.
Hurley, Niall P., Rickard, Scott T.
openaire   +3 more sources

Learning on Hypergraphs with Sparsity [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Hypergraph is a general way of representing high-order relations on a set of objects. It is a generalization of graph, in which only pairwise relations can be represented. It finds applications in various domains where relationships of more than two objects are observed.
Nguyen, Canh Hao, Mamitsuka, Hiroshi
openaire   +4 more sources

Exploration under sparsity constraints [PDF]

2015 European Conference on Mobile Robots (ECMR), 2015
This paper addresses the problem of designing an efficient exploration strategy for multiple mobile agents. As an exploration strategy, an intelligent waypoint generation is considered, where the trajectory of the agent is governed by the properties of the explored phenomenon.
Manss, Christoph, Shutin, Dmitriy, Viseras Ruiz, Alberto, Wiedemann, Thomas, Müller, Joachim   +4 more
openaire   +2 more sources

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

Greedy sparsity-constrained optimization [PDF]

2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011
Sparsity-constrained optimization has wide applicability in machine learning, statistics, and signal processing problems such as feature selection and compressive Sensing. A vast body of work has studied the sparsity-constrained optimization from theoretical, algorithmic, and application aspects in the context of sparse estimation in linear models ...
Bahmani, Sohail, Raj, Bhiksha, Boufounos, Petros   +2 more
openaire   +2 more sources

Mechanisms of parasite‐mediated disruption of brain vessels

FEBS Letters, EarlyView.
Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira, Sílvia Arroz‐Madeira, Cláudio A. Franco, Sara Silva Pereira   +3 more
wiley   +1 more source